Abstract #2374
Model-Based Reconstruction of Hyperpolarized [1- 13 C]-Pyruvate
James Bankson 1 , Christopher Walker 1 , Wolfgang Stefan 1 , David Fuentes 2 , Matthew Merritt 3 , Yunyun Chen 4 , Craig Malloy 3 , Dean Sherry 3 , Stephen Lai 4 , and John Hazle 1
1
Department of Imaging Physics, UT MD
Anderson Cancer Center, Houston, TX, United States,
2
UT
MD Anderson Cancer Center, Department of Imaging
Physics, Houston, TX, United States,
3
Advanced
Imaging Research Center, UT Southwestern Medical Center,
Dallas, TX, United States,
4
Department
of Head & Neck Surgery, UT MD Anderson Cancer Center,
Houston, TX, United States
Hyperpolarized (HP) MRI has enabled observation of
biochemical processes in vivo with unprecedented
resolution and specificity. These measurements are
challenging due to the transient and non-renewable
nature of HP signal enhancement, and the need to
distribute dynamic spatial observations over a
sufficient span of time to allow substrate interaction
with biological targets. We have developed a kinetic
model to describe the evolution of HP [1-
13
C]-pyruvate
in vivo, and integrated this model into a constrained
reconstruction algorithm exploits prior information from
1
H
MRI and allows estimation of under-sampled dynamic HP
imaging data as continuous functions of position and
time.
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